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Is `pcl::search::KdTree` implemented on the wrapper? I find references in C++ code but I can't be able to use it from Python... :-(
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Here is my test for density map creation, I draw 10 random points and than create density map, however sum over map is not 10, but 6.95563, for 100 points it's 91.6066 and it depens on point positions…
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/home/rajath/libraries/fast_gicp/include/fast_gicp/gicp/impl/fast_gicp_st_impl.hpp:73:24: error: no matching function for call to ‘fast_gicp::FastGICPSingleThread::calculate_covariances(const PointClo…
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Hi, could you please upload the zj_deviation and cvx toolbox? Thank you!
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How does this implementation compare in benchmarks to scipy.spatial.cKDTree or sklearn.neighbors.KDTree and is it capable of querying all neighbors within a radius?
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Hi, I am using package on Gentoo system and getting:
```
[ 53%] Building C object src/cpp/CMakeFiles/flann_s.dir/flann/ext/lz4hc.c.o
cd /tmp/portage/sci-libs/flann-1.9.1/work/flann-1.9.1_build/src/…
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double InformationMatrixCalculator::calc_fitness_score(const pcl::PointCloud::ConstPtr& cloud1, const pcl::PointCloud::ConstPtr& cloud2, const Eigen::Isometry3d& relpose, double max_range) {
pcl::s…
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As of today, the split dimension in kdtree is choosen according to maximum spread ( https://github.com/scipy/scipy/blob/master/scipy/spatial/ckdtree/src/build.cxx#L74 ). But this might be inappropriat…
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The following technical refactoring for PFBlockAlgo can be considered:
1. Unused and untested code path in SC linkers with `SuperClusterMatchByRef=False`:
https://github.com/cms-sw/cmssw/blob/ec4c…
jpata updated
2 years ago
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Thanks for the great toolbox you contributed!
I was trying to use it for the problem of picking particles in an image that need to have a minimum distance to their neighbors.
I have a list of coordi…